Hannah Christensen (she/her): Publications

Discovering convection biases in global km-scale climate models using computer vision

Copernicus Publications (2025)

Authors:

Lilli Freischem, Philipp Weiss, Hannah Christensen, Philip Stier

Precipitation rate, convective diagnostics and spin-up compared across physics suites in the model uncertainty model intercomparison project (MUMIP)

Copernicus Publications (2025)

Authors:

Edward Groot, Hannah Christensen, Xia Sun, Kathryn Newman, Wahiba Lfarh, Romain Roehrig, Kasturi Singh, Hugo Lambert, Jeff Beck, Keith Williams, Ligia Bernadet, Judith Berner

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Unravelling the role of increased model resolution on surface temperature fields using explainable AI

Copernicus Publications (2025)

Authors:

Simon Michel, Kristian Strommen, Hannah Christensen

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Emulation of sub-grid physics using stochastic, vertically recurrent neural networks

Copernicus Publications (2025)

Authors:

Peter Ukkonen, Laura Mansfield, Hannah Christensen

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Advancing Organized Convection Representation in the Unified Model: Implementing and Enhancing Multiscale Coherent Structure Parameterization

(2025)

Authors:

Zhixiao Zhang, Hannah Christensen, Mark Muetzelfeldt, Tim Woollings, Robert Stephen Plant, Alison Stirling, Michael Whitall, Mitchell W Moncrieff, Chih-Chieh Chen, Zhe Feng

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Hannah Christensen (she/her)

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Discovering convection biases in global km-scale climate models using computer vision

Authors:

Precipitation rate, convective diagnostics and spin-up compared across physics suites in the model uncertainty model intercomparison project (MUMIP)

Authors:

Unravelling the role of increased model resolution on surface temperature fields using explainable AI

Authors:

Emulation of sub-grid physics using stochastic, vertically recurrent neural networks

Authors:

Advancing Organized Convection Representation in the Unified Model: Implementing and Enhancing Multiscale Coherent Structure Parameterization

Authors:

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Hannah Christensen (she/her)

Research theme

Sub department

Research groups

Discovering convection biases in global km-scale climate models using computer vision

Authors:

Precipitation rate, convective diagnostics and spin-up compared across physics suites in the model uncertainty model intercomparison project (MUMIP)

Authors:

Unravelling the role of increased model resolution on surface temperature fields using explainable AI

Authors:

Emulation of sub-grid physics using stochastic, vertically recurrent neural networks

Authors:

Advancing Organized Convection Representation in the Unified Model: Implementing and Enhancing Multiscale Coherent Structure Parameterization

Authors: